Title Generation of grey patterns using an improved genetic-evolutionary algorithm: some new results
Another Title Pilkų šablonų generavimas naudojant pagerintą genetinį-evoliucinį algoritmą: kai kurie nauji rezultatai.
Authors Misevičius, Alfonsas
DOI 10.5755/j01.itc.40.4.983
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Is Part of Informacinės technologijos ir valdymas = Information technology and control.. Kaunas : Technologija. 2011, t. 40, Nr. 4, p. 330-343.. ISSN 1392-124X. eISSN 2335-884X
Keywords [eng] Combinatorial optimization ; Heuristics ; Genetic-evolutionary algorithms ; Grey pattern problem
Abstract [eng] Genetic and evolutionary algorithms have achieved impressive success in solving various optimization problems. In this work, an improved genetic-evolutionary algorithm (IGEA) for the grey pattern problem (GPP) is discussed. The main improvements are due to the specific recombination operator and the modified tabu search (intra-evolutionary) procedure as a post-recombination algorithm, which is based on the intensification and diversification methodology. The effectiveness of IGEA is corroborated by the fact that all the GPP instances tested are solved to pseudo-optimality at very small computational effort. The graphical illustrations of the grey patterns are presented.
Published Kaunas : Technologija
Type Journal article
Language English
Publication date 2011
CC license CC license description